# StridedSlice {#openvino_docs_ops_movement_StridedSlice_1}
**Versioned name**: *StridedSlice-1*
**Category**: *Data movement*
**Short description**: *StridedSlice* extracts a strided slice of a tensor.
**Attributes**
* *begin_mask*
* **Description**: *begin_mask* is a bit mask. *begin_mask[i]* equal to `1` means that the corresponding dimension of the `begin` input is ignored and the 'real' beginning of the tensor is used along corresponding dimension.
* **Range of values**: a list of `0`s and `1`s
* **Type**: `int[]`
* **Default value**: None
* **Required**: *yes*
* *end_mask*
* **Description**: *end_mask* is a bit mask. If *end_mask[i]* is `1`, the corresponding dimension of the `end` input is ignored and the real 'end' of the tensor is used along corresponding dimension.
* **Range of values**: a list of `0`s and `1`s
* **Type**: `int[]`
* **Default value**: None
* **Required**: *yes*
* *new_axis_mask*
* **Description**: *new_axis_mask* is a bit mask. If *new_axis_mask[i]* is `1`, a length 1 dimension is inserted on the `i`-th position of input tensor.
* **Range of values**: a list of `0`s and `1`s
* **Type**: `int[]`
* **Default value**: `[0]`
* **Required**: *no*
* *shrink_axis_mask*
* **Description**: *shrink_axis_mask* is a bit mask. If *shrink_axis_mask[i]* is `1`, the dimension on the `i`-th position is deleted.
* **Range of values**: a list of `0`s and `1`s
* **Type**: `int[]`
* **Default value**: `[0]`
* **Required**: *no*
* *ellipsis_mask*
* **Description**: *ellipsis_mask* is a bit mask. It inserts missing dimensions on a position of a non-zero bit.
* **Range of values**: a list of `0`s and `1`. Only one non-zero bit is allowed.
* **Type**: `int[]`
* **Default value**: `[0]`
* **Required**: *no*
**Inputs**:
* **1**: `data` - input tensor to be sliced of type *T* and arbitrary shape. **Required.**
* **2**: `begin` - 1D tensor of type *T_IND* with begin indexes for input tensor slicing. **Required.**
Out-of-bounds values are silently clamped. If `begin_mask[i]` is `1`, the value of `begin[i]` is ignored and the range of the appropriate dimension starts from `0`. Negative values mean indexing starts from the end. For example, if `data=[1,2,3]`, `begin[0]=-1` means `begin[0]=3`.
* **3**: `end` - 1D tensor of type *T_IND* with end indexes for input tensor slicing. **Required.**
Out-of-bounds values will be silently clamped. If `end_mask[i]` is `1`, the value of `end[i]` is ignored and the full range of the appropriate dimension is used instead. Negative values mean indexing starts from the end. For example, if `data=[1,2,3]`, `end[0]=-1` means `end[0]=3`.
* **4**: `stride` - 1D tensor of type *T_IND* with strides. **Optional.**
**Types**
* *T*: any supported type.
* *T_IND*: any supported integer type.
**Example**
Example of `begin_mask` & `end_mask` usage.
```xml
234222
```
Example of `new_axis_mask` usage.
```xml
234222
```
Example of `shrink_axis_mask` usage.
```xml
123846408555
```